Essays about: "and computation architecture."
Showing result 1 - 5 of 94 essays containing the words and computation architecture..
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1. Decoding the surface code using graph neural networks
University essay from Göteborgs universitet / Institutionen för fysikAbstract : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. READ MORE
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2. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE
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3. The impact of pruning Convolutional Neural Networks when classifying skin cancer
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. READ MORE
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4. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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5. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE
